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最新的 Databricks Certification Databricks-Certified-Data-Engineer-Professional 免費考試真題:

1. Which statement describes the default execution mode for Databricks Auto Loader?

A) Webhook trigger Databricks job to run anytime new data arrives in a source directory; new data automatically merged into target tables using rules inferred from the data.
B) Cloud vendor-specific queue storage and notification services are configured to track newly arriving files; the target table is materialized by directly querying all valid files in the source directory.
C) Cloud vendor-specific queue storage and notification services are configured to track newly arriving files; new files are incrementally and impotently into the target Delta Lake table.
D) New files are identified by listing the input directory; the target table is materialized by directory querying all valid files in the source directory.
E) New files are identified by listing the input directory; new files are incrementally and idempotently loaded into the target Delta Lake table.

2. The business intelligence team has a dashboard configured to track various summary metrics for retail stories. This includes total sales for the previous day alongside totals and averages for a variety of time periods. The fields required to populate this dashboard have the following schema:

For Demand forecasting, the Lakehouse contains a validated table of all itemized sales updated incrementally in near real-time. This table named products_per_order, includes the following fields:

Because reporting on long-term sales trends is less volatile, analysts using the new dashboard only require data to be refreshed once daily. Because the dashboard will be queried interactively by many users throughout a normal business day, it should return results quickly and reduce total compute associated with each materialization.
Which solution meets the expectations of the end users while controlling and limiting possible costs?

A) Define a view against the products_per_order table and define the dashboard against this view.
B) Use the Delta Cache to persists the products_per_order table in memory to quickly the dashboard with each query.
C) Use Structure Streaming to configure a live dashboard against the products_per_order table within a Databricks notebook.
D) Populate the dashboard by configuring a nightly batch job to save the required to quickly update the dashboard with each query.
E) Configure a webhook to execute an incremental read against products_per_order each time the dashboard is refreshed.

3. The data architect has mandated that all tables in the Lakehouse should be configured as external Delta Lake tables.
Which approach will ensure that this requirement is met?

A) Whenever a table is being created, make sure that the location keyword is used.
B) When tables are created, make sure that the external keyword is used in the create table statement.
C) When configuring an external data warehouse for all table storage. leverage Databricks for all ELT.
D) When the workspace is being configured, make sure that external cloud object storage has been mounted.
E) Whenever a database is being created, make sure that the location keyword is used Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from

4. A small company based in the United States has recently contracted a consulting firm in India to implement several new data engineering pipelines to power artificial intelligence applications. All the company's data is stored in regional cloud storage in the United States.
The workspace administrator at the company is uncertain about where the Databricks workspace used by the contractors should be deployed.
Assuming that all data governance considerations are accounted for, which statement accurately informs this decision?

A) Databricks workspaces do not rely on any regional infrastructure; as such, the decision should be Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from made based upon what is most convenient for the workspace administrator.
B) Cross-region reads and writes can incur significant costs and latency; whenever possible, compute should be deployed in the same region the data is stored.
C) Databricks runs HDFS on cloud volume storage; as such, cloud virtual machines must be deployed in the region where the data is stored.
D) Databricks notebooks send all executable code from the user's browser to virtual machines over the open internet; whenever possible, choosing a workspace region near the end users is the most secure.
E) Databricks leverages user workstations as the driver during interactive development; as such, users should always use a workspace deployed in a region they are physically near.

5. The data science team has created and logged a production model using MLflow. The following code correctly imports and applies the production model to output the predictions as a new DataFrame named preds with the schema "customer_id LONG, predictions DOUBLE, date DATE".
Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from

The data science team would like predictions saved to a Delta Lake table with the ability to compare all predictions across time. Churn predictions will be made at most once per day.
Which code block accomplishes this task while minimizing potential compute costs?

A) preds.write.format("delta").save("/preds/churn_preds")
B)

C)

D)

E) preds.write.mode("append").saveAsTable("churn_preds")

問題與答案：